Transcription of 3D Reconstruction from Multiple Images
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3D Reconstruction from Multiple Images
3D Reconstruction from Multiple ImagesShawn McCann1 IntroductionThere is an increasing need for geometric 3D models in the movie industry, the gamesindustry, mapping (Street View) and others. Generating these models from a sequence ofimages is much cheaper than previous techniques ( 3D scanners). These techniqueshave also been able to take advantage of the developments in digital cameras and theincreasing resolution and quality of Images they produce along with the large collectionsof imagery that have been established on the Internet (for example, on Flickr).Figure 1: Photo Tourism: Exploring Photo Collections in 3 DThe objective of this report is to identify the various approaches to generating sparse 3 Dreconstructions using the Structure from Motion (SfM) algorithms and the methods togenerate dense 3D reconstructions using the Multi View Stereo (MVS) Previous WorkThe Photo Tourism project [Ref P2] investigated the problem of taking unstructured col-lections of photographs (such as those from online image searches) and reconstructing 3 Dpoints and viewpoints to enable novel ways of browing the photo collection.
Visual SFM [Ref S5] - a highly optimized and well integrated implementation of Bundler, PMVS and CMVS. Of particular note are the inclusion of a GPU based SIFT algorithm (SiftGPU) and a multi-core implementation of the Bundle Adjustment algorithm. The use of these packages allows VisualSFM to perform incremental Structure from Motion in near ...
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